Overview

Row

GDP growth (2020 Q4 - IBGE)

-4.1%

Inflation 12-months (Apr ’21 - IBGE)

6.76%

Unemployment rate (2020 Q4 - IBGE)

13.9%

Primary Deficit (Mar ’21 - STN)

-10.09%

SELIC target rate (May ’21 - COPOM/BCB)

3.5%

Row

GDP growth

Inflation trend

Unemployment rate

Unemployment by states

Primary deficit trend

Real interest rates

Exchange rate

Exchange rate performance
Currency CUR/BRL1 Trend MoM2 YTD3 YoY4
US Dollar R$ 5.31 −4.59% −0.92% 23.52%
Euro R$ 6.42 −3.66% −1.57% 32.66%
Argentine Peso R$ 0.06 −5.62% −9.22% −12.80%
Mexican Peso R$ 0.26 −4.74% −1.65% 19.91%
Chinese Renminbi R$ 0.82 −3.60% −0.66% 30.09%
Turkish Lira R$ 0.64 −6.16% −11.78% −0.89%
Russian Ruble R$ 0.07 −2.54% −0.97% 10.66%
Indian Rupee R$ 0.07 −3.37% −1.59% 20.62%
Saudi Riyal R$ 1.42 −4.59% −0.89% 23.57%
South African Rand R$ 0.37 −3.20% 5.55% 22.70%
Source: BCB

1 Average monthly exchange rate, updated to May 12, 2021.

2 MoM: monthly percentage change

3 YTD: percentage change in the year

4 YoY: accumulated in 12 months percentage change against the same period of the previous year

Ibovespa index

Economic activity

Column

GDP growth in 4 quarters (2020 Q4 - IBGE)

-4.1%

GDP at current prices in 4 quarters (2020 Q4 - IBGE)

R$ 7.45b

Cielo retail index (March, 2021 - ICVA)

-11.6%

Vehicle production (April, 2021 - ANFAVEA)

190.9k

Installed Capacity Utilization Level (April, 2021 - FGV)

Column

GDP trend

IBC-Br trend

Column

GDP approaches

Quarter over Quarter1 Year over Year2 Year to Date3 Accumulated in 4 Quarters4
GDP 3.2% −1.1% −4.1% −4.1%
Agriculture −0.5% −0.4% 2.0% 2.0%
Industry 1.9% 1.2% −3.5% −3.5%
Services 2.7% −2.2% −4.5% −4.5%
Consumption 3.4% −3.0% −5.5% −5.5%
Government 1.1% −4.1% −4.7% −4.7%
Investment 20.0% 13.5% −0.8% −0.8%
Exports −1.4% −4.3% −1.8% −1.8%
Imports 22.0% −3.1% −10.0% −10.0%
Note: updated until 2020 Q4.
Source: IBGE

1 Growth rate for the quarter versus the immediately preceding quarter

2 Quarterly growth rate (compared to the same period of the previous year)

3 Accumulated growth rate over the year (compared to the same period of the previous year)

4 Growth rate accumulated in 4 quarters (compared to the same period of the previous year)

Retail (PMC)

Services (PMS)

Industry (PIM-PF)

Inflation

Column

Inflation over 12 months (April, 2021 - IPCA/IBGE)

6.76%

Inflation target for (2021 - CMN/BCB)

3.75%

Diffusion index (IPCA)

Column

Inflation trend

Inflation by metropolitan region

Column

CPI components

MoM1 YTD2
CPI (IPCA) 0.3% 2.4%
Food and drink 0.4% 1.8%
Housing 0.2% 0.3%
Residence articles 0.6% 2.8%
Clothing 0.5% 1.1%
Transportation −0.1% 6.5%
Health care 1.2% 2.1%
Personal expenses 0.0% 0.6%
Education 0.0% 2.1%
Communication 0.1% −0.1%
Note: data for April 2021.
Source: IPCA/IBGE

1 Month over Month: monthly percentage change

2 Year to Date: percentage change accumulated in the year

CPI cores

IGP trend

Labor market

Column

# Employed (2020 Q4 - IBGE)

86.2 million

# Unemployed (2020 Q4 - IBGE)

13.9 million

Employment by category

Column

Unemployment rate

Unemployment rate by gender and color

Column

Unemployment by states

Occupation

Participation

Income

Gini

Fiscal policy

Column

Central Government Primary Deficit

Central Government Net Revenue and Total Expenditure

Column

Detailed accounts of Central Government Income and Expenditure

Single Account balance

Column

Debt Stock

Government Securities Portfolio

Rating

Debt Risk Rating History
Last update Agency Foreign currency Local currency
2020-12-10 Standard & Poor's BB- BB-
2020-11-18 Fitch BB- BB-
2020-11-09 JCR BBB- BBB
2020-09-04 DBRS BB (low) BB (low)
2020-07-29 R&I BBB- -
2020-05-15 Moody's Ba2 Ba2
2020-05-05 Fitch BB- BB-
2020-04-06 Standard & Poor's BB- BB-
2019-12-11 Standard & Poor's BB- BB-
2019-11-19 JCR BBB- BBB
2019-11-18 R&I BBB- -
2019-11-14 Fitch BB- BB-
2019-09-11 DBRS BB (low) BB (low)
2019-05-21 Fitch BB- BB-
2019-02-20 R&I BBB- -
2019-02-07 Standard & Poor's BB- BB-
2018-09-12 DBRS BB (low) BB (low)
2018-08-09 Standard & Poor's BB- BB-
2018-08-01 Fitch BB- BB-
2018-04-09 Moody's Ba2 Ba2
2018-03-16 DBRS BB (low) BB (low)
2018-02-23 Fitch BB- BB-
2018-01-30 JCR BBB- BBB
2018-01-11 Standard & Poor's BB- BB-
2017-11-28 DBRS BB BB
2017-11-10 Fitch BB BB
2017-05-26 Moody's Ba2 Ba2
2017-05-22 Standard & Poor's BB BB
2017-05-18 Fitch BB BB
2017-03-15 Moody's Ba2 Ba2
2017-02-09 Standard & Poor's BB BB
2016-11-10 Fitch BB BB
2016-08-01 DBRS BB BB (high)
2016-06-01 JCR BBB- BBB
2016-05-05 Fitch BB BB
2016-05-01 R&I BBB- -
2016-02-24 Moody's Ba2 Ba2
2016-02-17 Standard & Poor's BB BB
2015-12-16 Fitch BB+ BB+
2015-10-15 Fitch BBB- BBB-
2015-09-09 Standard & Poor's BB+ BBB-
2015-08-11 Moody's Baa3 Baa2
2015-07-28 Standard & Poor's BBB- BBB+
2015-04-09 Fitch BBB BBB
2014-09-09 Moody's Baa2 -
2014-03-24 Standard & Poor's BBB- BBB+
2013-06-06 Standard & Poor's BBB A-
2012-12-18 Standard & Poor's BBB A-
2012-11-21 Moody's Baa2 Baa2
2011-11-17 Standard & Poor's BBB A-
2011-08-25 Standard & Poor's - BBB+
2011-04-04 Fitch BBB BBB
2010-06-30 Fitch BBB- BBB-
2009-09-22 Moody's Baa3 Baa3
2009-07-06 Moody's Ba1 Ba1
2008-05-28 Fitch BBB- BBB-
2008-04-30 Standard & Poor's BBB- BBB+
2007-08-01 Moody's Ba1 Ba1
2007-05-24 Moody's Ba2 Ba2
2007-05-16 Standard & Poor's BB+ BBB
2007-05-10 Fitch BB+ BB+
2007-02-04 Fitch BB BB
2006-11-22 Standard & Poor's BB BB+
2006-08-31 Moody's Ba2 Ba2
2006-08-01 Moody's Ba3 Ba3
2006-06-28 Fitch BB BB
2006-02-28 Standard & Poor's BB BB+
2005-11-08 Standard & Poor's BB- BB
2005-10-11 Moody's Ba3 -
2005-01-12 Moody's B1 Ba3
2004-09-28 Fitch BB- BB-
2004-09-09 Moody's B1 Ba3
2003-11-06 Fitch B+ B+
2003-06-03 Fitch B B
2003-04-29 Standard & Poor's B+ BB
2002-10-21 Fitch B B
2002-08-21 Moody's B2 B2
2002-08-01 Fitch B B
2002-07-02 Standard & Poor's B+ BB
2002-06-20 Fitch B+ -
2002-06-20 Moody's B1 B1
2002-06-04 Fitch - B+
2002-06-04 Moody's B1 B1
2002-02-27 Moody's B1 B1
2001-08-09 Standard & Poor's BB- BB+
2001-07-17 Fitch BB- B+
2001-01-03 Standard & Poor's BB- BB+
2000-10-16 Moody's B1 B1
2000-09-21 Fitch BB- B+
2000-05-19 Fitch BB- -
2000-02-29 Standard & Poor's - BB
2000-02-22 Fitch B+ B+
1999-11-10 Standard & Poor's B+ BB-
1999-01-26 Fitch B B
1999-01-14 Standard & Poor's B+ BB-
1998-09-10 Standard & Poor's BB- BB+
1998-09-03 Moody's B2 Caa1
1997-12-03 Fitch B+ -
1997-04-02 Standard & Poor's BB- BB+
1997-03-07 Moody's B1 -
1996-06-19 Standard & Poor's - BB
1995-10-26 Fitch B+ -
1994-12-01 Fitch B+ -
1994-11-30 Moody's B1 -
1994-10-05 Moody's B2 -
1989-03-31 Moody's B2 -
1986-11-18 Moody's Ba1 -
Source: STN

Monetary policy

Column

SELIC Target rate in May, 2021 (COPOM/BCB)

3.5%

Inflation target for 2021 (CMN)

3.75%

Inflation expectations

Column

Short-term interest rates

Real interest rates

Column

Exchange rate

Exchange rate performance
Currency CUR/BRL1 Trend MoM2 YTD3 YoY4
US Dollar R$ 5.31 −4.59% −0.92% 23.52%
Euro R$ 6.42 −3.66% −1.57% 32.66%
Argentine Peso R$ 0.06 −5.62% −9.22% −12.80%
Mexican Peso R$ 0.26 −4.74% −1.65% 19.91%
Chinese Renminbi R$ 0.82 −3.60% −0.66% 30.09%
Turkish Lira R$ 0.64 −6.16% −11.78% −0.89%
Russian Ruble R$ 0.07 −2.54% −0.97% 10.66%
Indian Rupee R$ 0.07 −3.37% −1.59% 20.62%
Saudi Riyal R$ 1.42 −4.59% −0.89% 23.57%
South African Rand R$ 0.37 −3.20% 5.55% 22.70%
Source: BCB

1 Average monthly exchange rate, updated to May 12, 2021.

2 MoM: monthly percentage change

3 YTD: percentage change in the year

4 YoY: accumulated in 12 months percentage change against the same period of the previous year

Interest rate expectations

Yield curve

Ibovespa

EMBI+

About

About

This dashboard aims to facilitate the monitoring of macroeconomic data on the Brazilian economy, including the main indicators of:

  • Economic activity
  • Inflation
  • Labor market
  • Fiscal policy
  • Monetary policy

The indicators are updated daily and come from public data sources. I hope this tool can be useful for you!

If you find any errors or have any suggestions, feel free to contact me:


Last update: May 12, 2021.
GitHub repo: https://github.com/schoulten/macroview


Author: Fernando da Silva
I am an economist passionate about macroeconomics with 3 years of experience in analyzing the economic scenario. I do data analysis with time series and microdata using the power of R for automation. My work helps people to understand the economic scenario and make decisions.

Website: https://fortietwo.com/
GitHub: https://www.github.com/schoulten
LinkedIn: https://www.linkedin.com/in/schoulten/